Instructions to use kernelguardian/instruct2action_llama2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kernelguardian/instruct2action_llama2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded") model = PeftModel.from_pretrained(base_model, "kernelguardian/instruct2action_llama2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1aa63af7928af795cb3fbf5c99910e7f2d2fde30b7b1cb274bc22c0a276c0f0f
- Size of remote file:
- 134 MB
- SHA256:
- 449200b7ac3333ebc3027bf7f4800193d248d858204373926dff2588f5006313
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